To predict the survival of passengers (Random Forest Model)
This repositary consists of train data , test data, predicted data and python code of the model. Train and test data is obtained from Kaggale website which consists of titanic passengers data. Problem statement is to predict the survuval of passengers with the help of their details.
Python code consists of uploading test data, data visualizations to gain insights,setting up the data, importing and fitting random forest model, uploading test data and finally predicting the survival of passengers using fitted model.